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| Criterion |  Delivery Cost of Delay |  Product Strategy DIBB |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | High | Low | High |
Timedifferent | 90-180 min | 1-2 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-8 | 2-8 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | CoD Table, Prioritization Sequence | DIBB document, Belief list, Bet list, Learning report | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | PrioritizationDeliveryEconomicsDecision | StrategyDecisionAssumptionsHypothesis | ForecastingFlowDelivery |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
